Overview

Brought to you by YData

Dataset statistics

Number of variables	22
Number of observations	500
Missing cells	280
Missing cells (%)	2.5%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	86.1 KiB
Average record size in memory	176.3 B

Variable types

Text	2
Categorical	5
Numeric	12
DateTime	3

Alerts

`irrigation_type` has 150 (30.0%) missing values	Missing
`crop_disease_status` has 130 (26.0%) missing values	Missing
`farm_id` has unique values	Unique
`yield_kg_per_hectare` has unique values	Unique
`sensor_id` has unique values	Unique
`latitude` has unique values	Unique
`longitude` has unique values	Unique

Reproduction

Analysis started	2025-06-09 12:10:30.463629
Analysis finished	2025-06-09 12:11:00.687397
Duration	30.22 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

farm_id
Text

Unique

Distinct	500
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	4000
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	500 ?
Unique (%)	100.0%

Sample

1st row	FARM0001
2nd row	FARM0002
3rd row	FARM0003
4th row	FARM0004
5th row	FARM0005

Value	Count	Frequency (%)
farm0005	1	0.2%
farm0500	1	0.2%
farm0001	1	0.2%
farm0002	1	0.2%
farm0485	1	0.2%
farm0486	1	0.2%
farm0487	1	0.2%
farm0488	1	0.2%
farm0489	1	0.2%
farm0490	1	0.2%
Other values (490)	490	98.0%

Most occurring characters

Value	Count	Frequency (%)
0	699	17.5%
F	500	12.5%
A	500	12.5%
R	500	12.5%
M	500	12.5%
1	200	5.0%
3	200	5.0%
2	200	5.0%
4	200	5.0%
5	101	2.5%
Other values (4)	400	10.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	699	17.5%
F	500	12.5%
A	500	12.5%
R	500	12.5%
M	500	12.5%
1	200	5.0%
3	200	5.0%
2	200	5.0%
4	200	5.0%
5	101	2.5%
Other values (4)	400	10.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	699	17.5%
F	500	12.5%
A	500	12.5%
R	500	12.5%
M	500	12.5%
1	200	5.0%
3	200	5.0%
2	200	5.0%
4	200	5.0%
5	101	2.5%
Other values (4)	400	10.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	699	17.5%
F	500	12.5%
A	500	12.5%
R	500	12.5%
M	500	12.5%
1	200	5.0%
3	200	5.0%
2	200	5.0%
4	200	5.0%
5	101	2.5%
Other values (4)	400	10.0%

region
Categorical

Distinct	5
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

Central USA	109
East Africa	107
North India	99
South USA	94
South India	91

Length

Max length	11
Median length	11
Mean length	10.624
Min length	9

Characters and Unicode

Total characters	5312
Distinct characters	22
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	North India
2nd row	South USA
3rd row	South USA
4th row	Central USA
5th row	Central USA

Common Values

Value	Count	Frequency (%)
Central USA	109	21.8%
East Africa	107	21.4%
North India	99	19.8%
South USA	94	18.8%
South India	91	18.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
usa	203	20.3%
india	190	19.0%
south	185	18.5%
central	109	10.9%
east	107	10.7%
africa	107	10.7%
north	99	9.9%

Most occurring characters

Value	Count	Frequency (%)
a	513	9.7%
t	500	9.4%
	500	9.4%
S	388	7.3%
r	315	5.9%
A	310	5.8%
n	299	5.6%
i	297	5.6%
o	284	5.3%
h	284	5.3%
Other values (12)	1622	30.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5312	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	513	9.7%
t	500	9.4%
	500	9.4%
S	388	7.3%
r	315	5.9%
A	310	5.8%
n	299	5.6%
i	297	5.6%
o	284	5.3%
h	284	5.3%
Other values (12)	1622	30.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5312	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	513	9.7%
t	500	9.4%
	500	9.4%
S	388	7.3%
r	315	5.9%
A	310	5.8%
n	299	5.6%
i	297	5.6%
o	284	5.3%
h	284	5.3%
Other values (12)	1622	30.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5312	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	513	9.7%
t	500	9.4%
	500	9.4%
S	388	7.3%
r	315	5.9%
A	310	5.8%
n	299	5.6%
i	297	5.6%
o	284	5.3%
h	284	5.3%
Other values (12)	1622	30.5%

crop_type
Categorical

Distinct	5
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

Maize	111
Soybean	108
Cotton	107
Wheat	92
Rice	82

Length

Max length	7
Median length	6
Mean length	5.482
Min length	4

Characters and Unicode

Total characters	2741
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Wheat
2nd row	Soybean
3rd row	Wheat
4th row	Maize
5th row	Cotton

Common Values

Value	Count	Frequency (%)
Maize	111	22.2%
Soybean	108	21.6%
Cotton	107	21.4%
Wheat	92	18.4%
Rice	82	16.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
maize	111	22.2%
soybean	108	21.6%
cotton	107	21.4%
wheat	92	18.4%
rice	82	16.4%

Most occurring characters

Value	Count	Frequency (%)
e	393	14.3%
o	322	11.7%
a	311	11.3%
t	306	11.2%
n	215	7.8%
i	193	7.0%
z	111	4.0%
M	111	4.0%
y	108	3.9%
S	108	3.9%
Other values (6)	563	20.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2741	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	393	14.3%
o	322	11.7%
a	311	11.3%
t	306	11.2%
n	215	7.8%
i	193	7.0%
z	111	4.0%
M	111	4.0%
y	108	3.9%
S	108	3.9%
Other values (6)	563	20.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2741	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	393	14.3%
o	322	11.7%
a	311	11.3%
t	306	11.2%
n	215	7.8%
i	193	7.0%
z	111	4.0%
M	111	4.0%
y	108	3.9%
S	108	3.9%
Other values (6)	563	20.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2741	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	393	14.3%
o	322	11.7%
a	311	11.3%
t	306	11.2%
n	215	7.8%
i	193	7.0%
z	111	4.0%
M	111	4.0%
y	108	3.9%
S	108	3.9%
Other values (6)	563	20.5%

soil_moisture_%
Real number (ℝ)

Distinct	475
Distinct (%)	95.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	26.75014

Minimum	10.16
Maximum	44.98
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.0 KiB

Quantile statistics

Minimum	10.16
5-th percentile	11.5895
Q1	17.89
median	25.855
Q3	36.0225
95-th percentile	42.6505
Maximum	44.98
Range	34.82
Interquartile range (IQR)	18.1325

Descriptive statistics

Standard deviation	10.150053
Coefficient of variation (CV)	0.37943925
Kurtosis	-1.2380887
Mean	26.75014
Median Absolute Deviation (MAD)	8.755
Skewness	0.12396359
Sum	13375.07
Variance	103.02358
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
16.25	4	0.8%
12.8	3	0.6%
32.56	3	0.6%
35.65	2	0.4%
18.22	2	0.4%
11.54	2	0.4%
27.35	2	0.4%
28.81	2	0.4%
35.35	2	0.4%
42.64	2	0.4%
Other values (465)	476	95.2%

Value	Count	Frequency (%)
10.16	1	0.2%
10.22	1	0.2%
10.25	1	0.2%
10.26	1	0.2%
10.27	1	0.2%
10.28	2	0.4%
10.31	1	0.2%
10.34	1	0.2%
10.45	1	0.2%
10.66	1	0.2%

Value	Count	Frequency (%)
44.98	1	0.2%
44.93	1	0.2%
44.91	1	0.2%
44.69	1	0.2%
44.64	1	0.2%
44.2	1	0.2%
44.18	1	0.2%
44.16	1	0.2%
44.13	1	0.2%
43.89	1	0.2%

soil_pH
Real number (ℝ)

Distinct	184
Distinct (%)	36.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.52398

Minimum	5.51
Maximum	7.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.0 KiB

Quantile statistics

Minimum	5.51
5-th percentile	5.6
Q1	6.03
median	6.53
Q3	7.04
95-th percentile	7.43
Maximum	7.5
Range	1.99
Interquartile range (IQR)	1.01

Descriptive statistics

Standard deviation	0.58555829
Coefficient of variation (CV)	0.089754765
Kurtosis	-1.2127359
Mean	6.52398
Median Absolute Deviation (MAD)	0.5
Skewness	-0.033405268
Sum	3261.99
Variance	0.34287852
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5.97	7	1.4%
6.33	7	1.4%
6.3	6	1.2%
7.04	6	1.2%
7.3	6	1.2%
6.78	6	1.2%
5.6	6	1.2%
6.36	5	1.0%
7.05	5	1.0%
6.08	5	1.0%
Other values (174)	441	88.2%

Value	Count	Frequency (%)
5.51	5	1.0%
5.52	1	0.2%
5.53	2	0.4%
5.54	3	0.6%
5.55	1	0.2%
5.56	2	0.4%
5.57	3	0.6%
5.58	3	0.6%
5.6	6	1.2%
5.61	3	0.6%

Value	Count	Frequency (%)
7.5	1	0.2%
7.49	5	1.0%
7.48	1	0.2%
7.47	5	1.0%
7.46	4	0.8%
7.45	1	0.2%
7.44	5	1.0%
7.43	5	1.0%
7.42	2	0.4%
7.41	5	1.0%

temperature_C
Real number (ℝ)

Distinct	448
Distinct (%)	89.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	24.67574

Minimum	15
Maximum	34.84
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.0 KiB

Quantile statistics

Minimum	15
5-th percentile	16.18
Q1	20.295
median	24.655
Q3	29.09
95-th percentile	33.3915
Maximum	34.84
Range	19.84
Interquartile range (IQR)	8.795

Descriptive statistics

Standard deviation	5.3488986
Coefficient of variation (CV)	0.2167675
Kurtosis	-1.0744021
Mean	24.67574
Median Absolute Deviation (MAD)	4.425
Skewness	0.008958518
Sum	12337.87
Variance	28.610716
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
24.83	3	0.6%
16.18	3	0.6%
29.66	3	0.6%
26.28	2	0.4%
18.85	2	0.4%
25.68	2	0.4%
21.04	2	0.4%
29.09	2	0.4%
26.36	2	0.4%
24.1	2	0.4%
Other values (438)	477	95.4%

Value	Count	Frequency (%)
15	1	0.2%
15.01	1	0.2%
15.04	1	0.2%
15.11	1	0.2%
15.2	1	0.2%
15.21	1	0.2%
15.23	1	0.2%
15.25	1	0.2%
15.3	1	0.2%
15.39	1	0.2%

Value	Count	Frequency (%)
34.84	1	0.2%
34.71	1	0.2%
34.52	1	0.2%
34.44	1	0.2%
34.4	1	0.2%
34.33	2	0.4%
34.19	1	0.2%
34.09	1	0.2%
34.01	1	0.2%
33.95	1	0.2%

rainfall_mm
Real number (ℝ)

Distinct	496
Distinct (%)	99.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	181.68574

Minimum	50.17
Maximum	298.96
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.0 KiB

Quantile statistics

Minimum	50.17
5-th percentile	65.351
Q1	119.2175
median	191.545
Q3	239.035
95-th percentile	289.178
Maximum	298.96
Range	248.79
Interquartile range (IQR)	119.8175

Descriptive statistics

Standard deviation	72.293091
Coefficient of variation (CV)	0.39790185
Kurtosis	-1.2095439
Mean	181.68574
Median Absolute Deviation (MAD)	60.21
Skewness	-0.15098075
Sum	90842.87
Variance	5226.2911
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
88.3	2	0.4%
88.64	2	0.4%
79.51	2	0.4%
137.08	2	0.4%
90.2	1	0.2%
294.51	1	0.2%
298.52	1	0.2%
195.86	1	0.2%
194.94	1	0.2%
125.81	1	0.2%
Other values (486)	486	97.2%

Value	Count	Frequency (%)
50.17	1	0.2%
52.35	1	0.2%
52.36	1	0.2%
52.38	1	0.2%
52.42	1	0.2%
52.64	1	0.2%
55.13	1	0.2%
57.19	1	0.2%
58.47	1	0.2%
59	1	0.2%

Value	Count	Frequency (%)
298.96	1	0.2%
298.52	1	0.2%
298.09	1	0.2%
298.08	1	0.2%
297.67	1	0.2%
296.33	1	0.2%
296.11	1	0.2%
295.96	1	0.2%
295.95	1	0.2%
295.74	1	0.2%

humidity_%
Real number (ℝ)

Distinct	481
Distinct (%)	96.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	65.19446

Minimum	40.23
Maximum	90
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.0 KiB

Quantile statistics

Minimum	40.23
5-th percentile	42.1025
Q1	51.865
median	65.685
Q3	77.995
95-th percentile	87.381
Maximum	90
Range	49.77
Interquartile range (IQR)	26.13

Descriptive statistics

Standard deviation	14.642849
Coefficient of variation (CV)	0.22460266
Kurtosis	-1.274798
Mean	65.19446
Median Absolute Deviation (MAD)	12.92
Skewness	-0.055725637
Sum	32597.23
Variance	214.41303
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
49.2	3	0.6%
77.96	2	0.4%
61.31	2	0.4%
79.3	2	0.4%
81.08	2	0.4%
84.2	2	0.4%
82.29	2	0.4%
73.84	2	0.4%
73.68	2	0.4%
85.69	2	0.4%
Other values (471)	479	95.8%

Value	Count	Frequency (%)
40.23	1	0.2%
40.29	1	0.2%
40.42	1	0.2%
40.45	1	0.2%
40.57	1	0.2%
40.59	1	0.2%
40.62	1	0.2%
40.64	1	0.2%
40.78	1	0.2%
40.83	1	0.2%

Value	Count	Frequency (%)
90	1	0.2%
89.84	2	0.4%
89.74	1	0.2%
89.42	1	0.2%
89.36	1	0.2%
89.29	1	0.2%
89.15	1	0.2%
89.14	1	0.2%
88.92	1	0.2%
88.82	1	0.2%

sunlight_hours
Real number (ℝ)

Distinct	332
Distinct (%)	66.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.03014

Minimum	4.01
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.0 KiB

Quantile statistics

Minimum	4.01
5-th percentile	4.4
Q1	5.6675
median	6.995
Q3	8.47
95-th percentile	9.711
Maximum	10
Range	5.99
Interquartile range (IQR)	2.8025

Descriptive statistics

Standard deviation	1.6916704
Coefficient of variation (CV)	0.24063112
Kurtosis	-1.1452539
Mean	7.03014
Median Absolute Deviation (MAD)	1.385
Skewness	0.015783466
Sum	3515.07
Variance	2.8617489
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7.96	6	1.2%
5.82	5	1.0%
5.81	4	0.8%
4.41	4	0.8%
6.3	4	0.8%
4.02	4	0.8%
5.98	4	0.8%
5.66	4	0.8%
6.01	4	0.8%
5.34	4	0.8%
Other values (322)	457	91.4%

Value	Count	Frequency (%)
4.01	1	0.2%
4.02	4	0.8%
4.03	1	0.2%
4.04	1	0.2%
4.05	1	0.2%
4.08	1	0.2%
4.1	1	0.2%
4.11	3	0.6%
4.15	1	0.2%
4.22	1	0.2%

Value	Count	Frequency (%)
10	1	0.2%
9.98	2	0.4%
9.95	1	0.2%
9.94	1	0.2%
9.92	1	0.2%
9.9	1	0.2%
9.89	3	0.6%
9.88	3	0.6%
9.87	1	0.2%
9.85	1	0.2%

irrigation_type
Categorical

Missing

Distinct	3
Distinct (%)	0.9%
Missing	150
Missing (%)	30.0%
Memory size	4.0 KiB

Sprinkler	121
Manual	118
Drip	111

Length

Max length	9
Median length	6
Mean length	6.4028571
Min length	4

Characters and Unicode

Total characters	2241
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Sprinkler
2nd row	Drip
3rd row	Sprinkler
4th row	Sprinkler
5th row	Manual

Common Values

Value	Count	Frequency (%)
Sprinkler	121	24.2%
Manual	118	23.6%
Drip	111	22.2%
(Missing)	150	30.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
sprinkler	121	34.6%
manual	118	33.7%
drip	111	31.7%

Most occurring characters

Value	Count	Frequency (%)
r	353	15.8%
n	239	10.7%
l	239	10.7%
a	236	10.5%
p	232	10.4%
i	232	10.4%
S	121	5.4%
k	121	5.4%
e	121	5.4%
M	118	5.3%
Other values (2)	229	10.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2241	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	353	15.8%
n	239	10.7%
l	239	10.7%
a	236	10.5%
p	232	10.4%
i	232	10.4%
S	121	5.4%
k	121	5.4%
e	121	5.4%
M	118	5.3%
Other values (2)	229	10.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2241	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	353	15.8%
n	239	10.7%
l	239	10.7%
a	236	10.5%
p	232	10.4%
i	232	10.4%
S	121	5.4%
k	121	5.4%
e	121	5.4%
M	118	5.3%
Other values (2)	229	10.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2241	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	353	15.8%
n	239	10.7%
l	239	10.7%
a	236	10.5%
p	232	10.4%
i	232	10.4%
S	121	5.4%
k	121	5.4%
e	121	5.4%
M	118	5.3%
Other values (2)	229	10.2%

fertilizer_type
Categorical

Distinct	3
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

Inorganic	167
Mixed	167
Organic	166

Length

Max length	9
Median length	7
Mean length	7
Min length	5

Characters and Unicode

Total characters	3500
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Organic
2nd row	Inorganic
3rd row	Mixed
4th row	Organic
5th row	Mixed

Common Values

Value	Count	Frequency (%)
Inorganic	167	33.4%
Mixed	167	33.4%
Organic	166	33.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
inorganic	167	33.4%
mixed	167	33.4%
organic	166	33.2%

Most occurring characters

Value	Count	Frequency (%)
n	500	14.3%
i	500	14.3%
g	333	9.5%
a	333	9.5%
r	333	9.5%
c	333	9.5%
I	167	4.8%
o	167	4.8%
M	167	4.8%
x	167	4.8%
Other values (3)	500	14.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	500	14.3%
i	500	14.3%
g	333	9.5%
a	333	9.5%
r	333	9.5%
c	333	9.5%
I	167	4.8%
o	167	4.8%
M	167	4.8%
x	167	4.8%
Other values (3)	500	14.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	500	14.3%
i	500	14.3%
g	333	9.5%
a	333	9.5%
r	333	9.5%
c	333	9.5%
I	167	4.8%
o	167	4.8%
M	167	4.8%
x	167	4.8%
Other values (3)	500	14.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	500	14.3%
i	500	14.3%
g	333	9.5%
a	333	9.5%
r	333	9.5%
c	333	9.5%
I	167	4.8%
o	167	4.8%
M	167	4.8%
x	167	4.8%
Other values (3)	500	14.3%

pesticide_usage_ml
Real number (ℝ)

Distinct	469
Distinct (%)	93.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	26.58698

Minimum	5.05
Maximum	49.94
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.0 KiB

Quantile statistics

Minimum	5.05
5-th percentile	6.708
Q1	14.945
median	25.98
Q3	38.005
95-th percentile	47.8305
Maximum	49.94
Range	44.89
Interquartile range (IQR)	23.06

Descriptive statistics

Standard deviation	13.202429
Coefficient of variation (CV)	0.49657499
Kurtosis	-1.2078285
Mean	26.58698
Median Absolute Deviation (MAD)	11.64
Skewness	0.065294352
Sum	13293.49
Variance	174.30414
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
43.41	2	0.4%
35.05	2	0.4%
16	2	0.4%
39.61	2	0.4%
43.3	2	0.4%
31.01	2	0.4%
47.83	2	0.4%
7.6	2	0.4%
49.73	2	0.4%
42.83	2	0.4%
Other values (459)	480	96.0%

Value	Count	Frequency (%)
5.05	1	0.2%
5.07	1	0.2%
5.3	1	0.2%
5.32	1	0.2%
5.36	1	0.2%
5.42	1	0.2%
5.51	1	0.2%
5.57	1	0.2%
5.62	1	0.2%
5.63	1	0.2%

Value	Count	Frequency (%)
49.94	1	0.2%
49.93	1	0.2%
49.91	1	0.2%
49.88	1	0.2%
49.78	1	0.2%
49.73	2	0.4%
49.68	1	0.2%
49.66	1	0.2%
49.48	1	0.2%
49.46	1	0.2%

sowing_date
Date

Distinct	84
Distinct (%)	16.8%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

Minimum	2024-01-01 00:00:00
Maximum	2024-03-28 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

harvest_date
Date

Distinct	123
Distinct (%)	24.6%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

Minimum	2024-04-09 00:00:00
Maximum	2024-08-17 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

total_days
Real number (ℝ)

Distinct	61
Distinct (%)	12.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	119.496

Minimum	90
Maximum	150
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.0 KiB

Quantile statistics

Minimum	90
5-th percentile	94
Q1	105.75
median	119
Q3	134
95-th percentile	146
Maximum	150
Range	60
Interquartile range (IQR)	28.25

Descriptive statistics

Standard deviation	16.798046
Coefficient of variation (CV)	0.14057412
Kurtosis	-1.154153
Mean	119.496
Median Absolute Deviation (MAD)	14
Skewness	0.057205139
Sum	59748
Variance	282.17433
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
115	18	3.6%
131	15	3.0%
102	13	2.6%
97	13	2.6%
107	12	2.4%
119	12	2.4%
133	12	2.4%
106	12	2.4%
145	12	2.4%
101	12	2.4%
Other values (51)	369	73.8%

Value	Count	Frequency (%)
90	5	1.0%
91	7	1.4%
92	6	1.2%
93	3	0.6%
94	10	2.0%
95	5	1.0%
96	9	1.8%
97	13	2.6%
98	7	1.4%
99	8	1.6%

Value	Count	Frequency (%)
150	7	1.4%
149	5	1.0%
148	3	0.6%
147	8	1.6%
146	3	0.6%
145	12	2.4%
144	10	2.0%
143	6	1.2%
142	10	2.0%
141	5	1.0%

yield_kg_per_hectare
Real number (ℝ)

Unique

Distinct	500
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4032.9269

Minimum	2023.56
Maximum	5998.29
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.0 KiB

Quantile statistics

Minimum	2023.56
5-th percentile	2200.5295
Q1	2994.82
median	4071.69
Q3	5062.11
95-th percentile	5837.0905
Maximum	5998.29
Range	3974.73
Interquartile range (IQR)	2067.29

Descriptive statistics

Standard deviation	1174.433
Coefficient of variation (CV)	0.29121109
Kurtosis	-1.2585363
Mean	4032.9269
Median Absolute Deviation (MAD)	1040.735
Skewness	-0.028317805
Sum	2016463.5
Variance	1379293
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5891.4	1	0.2%
4408.07	1	0.2%
5389.98	1	0.2%
2931.16	1	0.2%
2594.9	1	0.2%
3715.81	1	0.2%
3555.39	1	0.2%
3684.22	1	0.2%
3882.79	1	0.2%
2023.56	1	0.2%
Other values (490)	490	98.0%

Value	Count	Frequency (%)
2023.56	1	0.2%
2029.16	1	0.2%
2043.13	1	0.2%
2046.41	1	0.2%
2049.06	1	0.2%
2050.61	1	0.2%
2066.52	1	0.2%
2066.9	1	0.2%
2067.56	1	0.2%
2077.58	1	0.2%

Value	Count	Frequency (%)
5998.29	1	0.2%
5980.83	1	0.2%
5978.14	1	0.2%
5970.39	1	0.2%
5960.64	1	0.2%
5957.61	1	0.2%
5954.03	1	0.2%
5953.33	1	0.2%
5952.62	1	0.2%
5924.44	1	0.2%

sensor_id
Text

Unique

Distinct	500
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	4000
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	500 ?
Unique (%)	100.0%

Sample

1st row	SENS0001
2nd row	SENS0002
3rd row	SENS0003
4th row	SENS0004
5th row	SENS0005

Value	Count	Frequency (%)
sens0005	1	0.2%
sens0500	1	0.2%
sens0001	1	0.2%
sens0002	1	0.2%
sens0485	1	0.2%
sens0486	1	0.2%
sens0487	1	0.2%
sens0488	1	0.2%
sens0489	1	0.2%
sens0490	1	0.2%
Other values (490)	490	98.0%

Most occurring characters

Value	Count	Frequency (%)
S	1000	25.0%
0	699	17.5%
E	500	12.5%
N	500	12.5%
1	200	5.0%
3	200	5.0%
2	200	5.0%
4	200	5.0%
5	101	2.5%
8	100	2.5%
Other values (3)	300	7.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
S	1000	25.0%
0	699	17.5%
E	500	12.5%
N	500	12.5%
1	200	5.0%
3	200	5.0%
2	200	5.0%
4	200	5.0%
5	101	2.5%
8	100	2.5%
Other values (3)	300	7.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
S	1000	25.0%
0	699	17.5%
E	500	12.5%
N	500	12.5%
1	200	5.0%
3	200	5.0%
2	200	5.0%
4	200	5.0%
5	101	2.5%
8	100	2.5%
Other values (3)	300	7.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
S	1000	25.0%
0	699	17.5%
E	500	12.5%
N	500	12.5%
1	200	5.0%
3	200	5.0%
2	200	5.0%
4	200	5.0%
5	101	2.5%
8	100	2.5%
Other values (3)	300	7.5%

timestamp
Date

Distinct	172
Distinct (%)	34.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

Minimum	2024-01-03 00:00:00
Maximum	2024-08-12 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

latitude
Real number (ℝ)

Unique

Distinct	500
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	22.442473

Minimum	10.004243
Maximum	34.981531
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.0 KiB

Quantile statistics

Minimum	10.004243
5-th percentile	11.350755
Q1	16.263202
median	21.981743
Q3	28.528948
95-th percentile	33.742587
Maximum	34.981531
Range	24.977288
Interquartile range (IQR)	12.265746

Descriptive statistics

Standard deviation	7.2834918
Coefficient of variation (CV)	0.32454052
Kurtosis	-1.2280997
Mean	22.442473
Median Absolute Deviation (MAD)	6.186541
Skewness	0.028356492
Sum	11221.237
Variance	53.049253
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
13.455532	1	0.2%
14.970941	1	0.2%
16.613022	1	0.2%
19.503156	1	0.2%
13.307395	1	0.2%
28.231214	1	0.2%
33.941965	1	0.2%
32.524945	1	0.2%
17.482124	1	0.2%
18.213795	1	0.2%
Other values (490)	490	98.0%

Value	Count	Frequency (%)
10.004243	1	0.2%
10.066893	1	0.2%
10.102747	1	0.2%
10.116728	1	0.2%
10.129536	1	0.2%
10.130335	1	0.2%
10.1331	1	0.2%
10.141128	1	0.2%
10.241808	1	0.2%
10.296576	1	0.2%

Value	Count	Frequency (%)
34.981531	1	0.2%
34.899235	1	0.2%
34.811812	1	0.2%
34.806428	1	0.2%
34.774651	1	0.2%
34.672063	1	0.2%
34.589477	1	0.2%
34.533387	1	0.2%
34.52048	1	0.2%
34.395988	1	0.2%

longitude
Real number (ℝ)

Unique

Distinct	500
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	80.392248

Minimum	70.020021
Maximum	89.991901
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.0 KiB

Quantile statistics

Minimum	70.020021
5-th percentile	70.970664
Q1	75.374713
median	80.650284
Q3	85.654629
95-th percentile	89.123329
Maximum	89.991901
Range	19.97188
Interquartile range (IQR)	10.279917

Descriptive statistics

Standard deviation	5.9106641
Coefficient of variation (CV)	0.073522812
Kurtosis	-1.2461011
Mean	80.392248
Median Absolute Deviation (MAD)	5.157479
Skewness	-0.070052765
Sum	40196.124
Variance	34.93595
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
88.880605	1	0.2%
82.997689	1	0.2%
70.869009	1	0.2%
79.068206	1	0.2%
70.767329	1	0.2%
73.737205	1	0.2%
85.854259	1	0.2%
73.20625	1	0.2%
78.566829	1	0.2%
77.077855	1	0.2%
Other values (490)	490	98.0%

Value	Count	Frequency (%)
70.020021	1	0.2%
70.105024	1	0.2%
70.117979	1	0.2%
70.13146	1	0.2%
70.257953	1	0.2%
70.277518	1	0.2%
70.328707	1	0.2%
70.353408	1	0.2%
70.358304	1	0.2%
70.429646	1	0.2%

Value	Count	Frequency (%)
89.991901	1	0.2%
89.97974	1	0.2%
89.974564	1	0.2%
89.954055	1	0.2%
89.874704	1	0.2%
89.812315	1	0.2%
89.801528	1	0.2%
89.692255	1	0.2%
89.673368	1	0.2%
89.672164	1	0.2%

NDVI_index
Real number (ℝ)

Distinct	61
Distinct (%)	12.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.60206

Minimum	0.3
Maximum	0.9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.0 KiB

Quantile statistics

Minimum	0.3
5-th percentile	0.33
Q1	0.4475
median	0.61
Q3	0.75
95-th percentile	0.87
Maximum	0.9
Range	0.6
Interquartile range (IQR)	0.3025

Descriptive statistics

Standard deviation	0.17540208
Coefficient of variation (CV)	0.29133654
Kurtosis	-1.2385683
Mean	0.60206
Median Absolute Deviation (MAD)	0.15
Skewness	-0.053378108
Sum	301.03
Variance	0.030765888
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.59	15	3.0%
0.74	13	2.6%
0.35	13	2.6%
0.76	13	2.6%
0.38	12	2.4%
0.41	12	2.4%
0.66	12	2.4%
0.88	12	2.4%
0.47	12	2.4%
0.68	12	2.4%
Other values (51)	374	74.8%

Value	Count	Frequency (%)
0.3	7	1.4%
0.31	5	1.0%
0.32	4	0.8%
0.33	10	2.0%
0.34	9	1.8%
0.35	13	2.6%
0.36	7	1.4%
0.37	10	2.0%
0.38	12	2.4%
0.39	11	2.2%

Value	Count	Frequency (%)
0.9	5	1.0%
0.89	5	1.0%
0.88	12	2.4%
0.87	7	1.4%
0.86	10	2.0%
0.85	10	2.0%
0.84	7	1.4%
0.83	11	2.2%
0.82	5	1.0%
0.81	6	1.2%

crop_disease_status
Categorical

Missing

Distinct	3
Distinct (%)	0.8%
Missing	130
Missing (%)	26.0%
Memory size	4.0 KiB

Severe	133
Mild	125
Moderate	112

Length

Max length	8
Median length	6
Mean length	5.9297297
Min length	4

Characters and Unicode

Total characters	2194
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Mild
2nd row	Mild
3rd row	Severe
4th row	Mild
5th row	Mild

Common Values

Value	Count	Frequency (%)
Severe	133	26.6%
Mild	125	25.0%
Moderate	112	22.4%
(Missing)	130	26.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
severe	133	35.9%
mild	125	33.8%
moderate	112	30.3%

Most occurring characters

Value	Count	Frequency (%)
e	623	28.4%
r	245	11.2%
M	237	10.8%
d	237	10.8%
S	133	6.1%
v	133	6.1%
i	125	5.7%
l	125	5.7%
o	112	5.1%
a	112	5.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2194	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	623	28.4%
r	245	11.2%
M	237	10.8%
d	237	10.8%
S	133	6.1%
v	133	6.1%
i	125	5.7%
l	125	5.7%
o	112	5.1%
a	112	5.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2194	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	623	28.4%
r	245	11.2%
M	237	10.8%
d	237	10.8%
S	133	6.1%
v	133	6.1%
i	125	5.7%
l	125	5.7%
o	112	5.1%
a	112	5.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2194	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	623	28.4%
r	245	11.2%
M	237	10.8%
d	237	10.8%
S	133	6.1%
v	133	6.1%
i	125	5.7%
l	125	5.7%
o	112	5.1%
a	112	5.1%

Interactions

Correlations

	NDVI_index	crop_disease_status	crop_type	fertilizer_type	humidity_%	irrigation_type	latitude	longitude	pesticide_usage_ml	rainfall_mm	region	soil_moisture_%	soil_pH	sunlight_hours	temperature_C	total_days	yield_kg_per_hectare
NDVI_index	1.000	0.093	0.044	0.000	-0.026	0.019	-0.034	-0.094	0.016	0.094	0.028	-0.013	0.093	0.000	-0.036	-0.070	0.037
crop_disease_status	0.093	1.000	0.000	0.000	0.000	0.000	0.077	0.049	0.000	0.086	0.000	0.000	0.079	0.081	0.000	0.000	0.148
crop_type	0.044	0.000	1.000	0.075	0.000	0.000	0.000	0.049	0.000	0.074	0.000	0.000	0.000	0.000	0.000	0.000	0.000
fertilizer_type	0.000	0.000	0.075	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.082	0.000
humidity_%	-0.026	0.000	0.000	0.000	1.000	0.000	-0.018	0.012	0.030	-0.023	0.009	0.008	0.004	0.015	-0.029	-0.015	0.042
irrigation_type	0.019	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.121	0.000	0.000	0.086	0.000	0.000	0.051	0.000	0.031
latitude	-0.034	0.077	0.000	0.000	-0.018	0.000	1.000	-0.026	-0.142	0.066	0.075	-0.016	-0.046	-0.025	0.050	0.044	-0.039
longitude	-0.094	0.049	0.049	0.000	0.012	0.000	-0.026	1.000	0.049	-0.008	0.000	0.015	-0.014	-0.004	0.037	-0.007	0.026
pesticide_usage_ml	0.016	0.000	0.000	0.000	0.030	0.121	-0.142	0.049	1.000	0.011	0.000	0.017	-0.194	0.002	0.022	0.039	0.043
rainfall_mm	0.094	0.086	0.074	0.000	-0.023	0.000	0.066	-0.008	0.011	1.000	0.000	0.052	-0.057	0.004	0.028	-0.026	-0.081
region	0.028	0.000	0.000	0.000	0.009	0.000	0.075	0.000	0.000	0.000	1.000	0.083	0.070	0.076	0.060	0.023	0.000
soil_moisture_%	-0.013	0.000	0.000	0.000	0.008	0.086	-0.016	0.015	0.017	0.052	0.083	1.000	0.005	0.058	0.039	0.008	-0.063
soil_pH	0.093	0.079	0.000	0.000	0.004	0.000	-0.046	-0.014	-0.194	-0.057	0.070	0.005	1.000	-0.020	0.029	0.020	0.025
sunlight_hours	0.000	0.081	0.000	0.000	0.015	0.000	-0.025	-0.004	0.002	0.004	0.076	0.058	-0.020	1.000	0.002	-0.009	0.019
temperature_C	-0.036	0.000	0.000	0.000	-0.029	0.051	0.050	0.037	0.022	0.028	0.060	0.039	0.029	0.002	1.000	0.049	0.025
total_days	-0.070	0.000	0.000	0.082	-0.015	0.000	0.044	-0.007	0.039	-0.026	0.023	0.008	0.020	-0.009	0.049	1.000	-0.008
yield_kg_per_hectare	0.037	0.148	0.000	0.000	0.042	0.031	-0.039	0.026	0.043	-0.081	0.000	-0.063	0.025	0.019	0.025	-0.008	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	farm_id	region	crop_type	soil_moisture_%	soil_pH	temperature_C	rainfall_mm	humidity_%	sunlight_hours	irrigation_type	fertilizer_type	pesticide_usage_ml	sowing_date	harvest_date	total_days	yield_kg_per_hectare	sensor_id	timestamp	latitude	longitude	NDVI_index	crop_disease_status
0	FARM0001	North India	Wheat	35.95	5.99	17.79	75.62	77.03	7.27	NaN	Organic	6.34	2024-01-08	2024-05-09	122	4408.07	SENS0001	2024-03-19	14.970941	82.997689	0.63	Mild
1	FARM0002	South USA	Soybean	19.74	7.24	30.18	89.91	61.13	5.67	Sprinkler	Inorganic	9.60	2024-02-04	2024-05-26	112	5389.98	SENS0002	2024-04-21	16.613022	70.869009	0.58	NaN
2	FARM0003	South USA	Wheat	29.32	7.16	27.37	265.43	68.87	8.23	Drip	Mixed	15.26	2024-02-03	2024-06-26	144	2931.16	SENS0003	2024-02-28	19.503156	79.068206	0.80	Mild
3	FARM0004	Central USA	Maize	17.33	6.03	33.73	212.01	70.46	5.03	Sprinkler	Organic	25.80	2024-02-21	2024-07-04	134	4227.80	SENS0004	2024-05-14	31.071298	85.519998	0.44	NaN
4	FARM0005	Central USA	Cotton	19.37	5.92	33.86	269.09	55.73	7.93	NaN	Mixed	25.65	2024-02-05	2024-05-20	105	4979.96	SENS0005	2024-04-13	16.568540	81.691720	0.84	Severe
5	FARM0006	Central USA	Rice	44.91	5.78	24.87	238.95	83.06	4.92	Sprinkler	Mixed	24.00	2024-01-13	2024-05-06	114	4383.55	SENS0006	2024-03-12	23.227859	89.421568	0.82	NaN
6	FARM0007	North India	Soybean	36.28	7.04	21.80	123.38	47.91	4.02	Manual	Mixed	39.29	2024-03-04	2024-07-27	145	4501.20	SENS0007	2024-07-11	25.224255	73.056785	0.76	NaN
7	FARM0008	East Africa	Maize	27.10	5.72	22.26	296.33	80.34	5.44	Sprinkler	Mixed	47.61	2024-01-24	2024-05-24	121	5264.09	SENS0008	2024-04-30	23.317654	72.515210	0.70	Mild
8	FARM0009	Central USA	Soybean	40.54	6.35	19.24	184.82	76.50	5.21	Manual	Inorganic	49.78	2024-03-12	2024-07-08	118	5598.46	SENS0009	2024-05-08	13.025105	74.493947	0.50	Mild
9	FARM0010	East Africa	Rice	10.25	6.92	16.18	66.85	41.57	5.98	Sprinkler	Inorganic	35.10	2024-01-18	2024-04-25	98	4893.41	SENS0010	2024-03-31	24.405291	74.859945	0.58	Severe

	farm_id	region	crop_type	soil_moisture_%	soil_pH	temperature_C	rainfall_mm	humidity_%	sunlight_hours	irrigation_type	fertilizer_type	pesticide_usage_ml	sowing_date	harvest_date	total_days	yield_kg_per_hectare	sensor_id	timestamp	latitude	longitude	NDVI_index	crop_disease_status
490	FARM0491	East Africa	Soybean	19.06	7.20	20.93	117.13	45.96	5.34	Sprinkler	Inorganic	6.76	2024-01-09	2024-06-06	149	2531.89	SENS0491	2024-01-22	26.060328	74.980161	0.79	NaN
491	FARM0492	North India	Maize	32.14	7.44	21.49	286.61	84.20	5.58	Sprinkler	Inorganic	45.43	2024-02-11	2024-05-14	93	4503.82	SENS0492	2024-02-12	30.598295	74.385592	0.88	Mild
492	FARM0493	Central USA	Wheat	28.81	7.46	30.56	245.13	45.32	8.47	NaN	Mixed	16.58	2024-03-21	2024-07-27	128	4203.51	SENS0493	2024-07-12	15.515976	75.375870	0.65	Severe
493	FARM0494	South India	Cotton	18.11	6.95	22.37	275.54	44.68	5.09	Sprinkler	Organic	13.50	2024-02-24	2024-06-04	101	4590.26	SENS0494	2024-02-26	17.754006	87.705061	0.79	Mild
494	FARM0495	North India	Rice	12.52	5.99	33.18	292.60	45.01	7.16	Drip	Mixed	9.49	2024-02-01	2024-05-08	97	5306.25	SENS0495	2024-05-08	30.762928	88.693555	0.38	NaN
495	FARM0496	Central USA	Rice	42.85	6.70	30.85	52.35	79.58	7.25	Manual	Mixed	8.82	2024-01-16	2024-06-02	138	4251.40	SENS0496	2024-05-08	30.386623	76.147700	0.59	Mild
496	FARM0497	North India	Soybean	34.22	6.75	17.46	256.23	45.14	5.78	NaN	Organic	5.05	2024-01-01	2024-04-14	104	3708.54	SENS0497	2024-01-19	18.832748	75.736924	0.85	Severe
497	FARM0498	North India	Cotton	15.93	5.72	17.03	288.96	57.87	7.69	Drip	Inorganic	46.55	2024-01-02	2024-05-09	128	2604.41	SENS0498	2024-04-20	23.262016	81.992230	0.71	Mild
498	FARM0499	Central USA	Soybean	38.61	6.20	17.08	279.06	73.09	9.60	Drip	Organic	43.78	2024-01-25	2024-06-04	131	2586.36	SENS0499	2024-03-02	19.764989	84.426869	0.77	Severe
499	FARM0500	North India	Wheat	30.22	7.42	20.57	72.61	89.74	5.09	NaN	Inorganic	19.37	2024-02-16	2024-06-29	134	5891.40	SENS0500	2024-05-11	13.455532	88.880605	0.85	Severe

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category